# Shopee Search Keyword Suggestions & Autocomplete Scraper (`axery/shopee-search-hint`) Actor

Fetch Shopee keyword autocomplete suggestions for any search term across Indonesia, Singapore, Malaysia, Philippines, Thailand, Vietnam, and Brazil. Fast, HTTP-only, no login required.

- **URL**: https://apify.com/axery/shopee-search-hint.md
- **Developed by:** [Axery](https://apify.com/axery) (community)
- **Stats:** 1 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.50 / 1,000 keyword suggestion extracteds

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## 🛍️ Shopee Search Keyword Suggestions & Autocomplete Scraper

Extract ranked autocomplete keyword suggestions from Shopee across 11 regions (**Indonesia, Singapore, Malaysia, Philippines, Thailand, Vietnam, Brazil, Taiwan, Mexico, Colombia, and Chile**) — **without accounts, login credentials, or browser overhead**.

***

### ⚡ Key Features

- **🚀 Ultra-Fast & Lightweight:** HTTP-only direct API calls to Shopee's search suggestion engine. Sub-second response times, minimal resource usage (runs smoothly on 256 MB).
- **🌏 Multi-Region Support:** Easily switch between ID, SG, MY, PH, TH, VN, BR, TW, MX, CO, and CL.
- **🔍 E-Commerce SEO & Product Discovery:** Uncover what consumers are actively searching for to optimize product titles, PPC keywords, and market research.
- **🛡️ 100% Reliable & Maintenance-Free:** Direct public endpoint requiring zero cookies and no login credentials.

***

### 📥 Input Options

| Parameter | Type | Default | Description |
|---|---|---|---|
| `keywords` | Array of Strings | `["sepatu", "iphone"]` | Target search prefixes or terms to get autocomplete suggestions for. |
| `country` | String | `"ID"` | Shopee region (`ID`, `SG`, `MY`, `PH`, `TH`, `VN`, `BR`, `TW`, `MX`, `CO`, `CL`). |
| `maxItems` | Integer | `100` | Maximum number of total suggestions to collect. |
| `proxyConfiguration` | Object | `{ "useApifyProxy": false }` | Optional proxy settings. Recommended for large batch keyword lists. |

#### Sample Input

```json
{
  "keywords": [
    "sepatu",
    "sneakers",
    "dress"
  ],
  "country": "ID",
  "maxItems": 50
}
```

***

### 📤 Output Dataset Format

Every suggestion is formatted as a clean JSON record with ranked position:

```json
{
  "query": "sepatu",
  "country": "ID",
  "suggestion": "sepatu wanita",
  "position": 1,
  "recordType": 0,
  "scrapedAt": "2026-09-12T06:09:27.123456Z"
}
```

***

### 💡 Practical Use Cases

1. **Shopee SEO Optimization:** Discover high-intent search terms to place in your product titles, descriptions, and hashtags.
2. **Trending Product Discovery:** Identify emerging consumer queries before competitors.
3. **PPC Ad Campaign Keyword Mining:** Build targeted keyword lists for Shopee Ads with real consumer search queries.
4. **Dropshipping & Competitor Niche Research:** Find profitable sub-niches with high search interest.

***

### ⚖️ Pricing & Monetization

Pay-per-event pricing ensures you only pay for actual keyword suggestions retrieved with zero compute waste.

# Actor input Schema

## `keywords` (type: `array`):

List of keywords or partial terms to get autocomplete suggestions for (e.g. \['sepatu', 'iphone', 'dress']).

## `country` (type: `string`):

Shopee region to scrape suggestions from.

## `maxItems` (type: `integer`):

Maximum number of total suggestions to collect.

## `proxyConfiguration` (type: `object`):

Optional proxy settings. Recommended for high-frequency or large keyword lists.

## Actor input object example

```json
{
  "keywords": [
    "sepatu",
    "iphone"
  ],
  "country": "ID",
  "maxItems": 100,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# Actor output Schema

## `results` (type: `string`):

Dataset containing scraped Shopee autocomplete suggestions.

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "keywords": [
        "sepatu",
        "iphone"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("axery/shopee-search-hint").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "keywords": [
        "sepatu",
        "iphone",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("axery/shopee-search-hint").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "keywords": [
    "sepatu",
    "iphone"
  ]
}' |
apify call axery/shopee-search-hint --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,axery/shopee-search-hint"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/1vEuedXohKubnkizY/builds/L88QWZWHM4NfTFNpH/openapi.json